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UAI
1998
15 years 7 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
COLING
1996
15 years 7 months ago
Role of Word Sense Disambiguation in Lexical Acquisition: Predicting Semantics from Syntactic Cues
This paper addresses the issue of word-sense ambiguity in extraction from machine-readable resources for the construction of large-scale knowledge sources. We describe two experim...
Bonnie J. Dorr, Douglas A. Jones
ISMB
1993
15 years 7 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
ANLP
1992
89views more  ANLP 1992»
15 years 7 months ago
Computational Lexicons: the Neat Examples and the Odd Exemplars
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
ANLP
1992
126views more  ANLP 1992»
15 years 7 months ago
Overview of Natural Language Processing of Captions for Retrieving Multimedia Data
This paper briefly describes the current implementation status of an intelligent information retrieval system, MARIE, that employs natural language processing techniques. Descript...
Eugene J. Guglielmo, Neil C. Rowe